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1197708

神經網絡軟件市場 - 增長、趨勢、COVID-19 影響和預測 (2023-2028)

Neural Network Software Market - Growth, Trends, and Forecasts (2023 - 2028)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3個工作天內

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簡介目錄

在預測期內，神經網絡軟件市場預計將以 35.2% 的複合年增長率註冊。

主要亮點

  • 在人工智能發展的早期階段根本沒有考慮神經網絡。 逐漸成為公認的、引領人工智能發展趨勢的大規模算法。
  • 隨著物聯網和聯網設備的引入，會生成大量結構化和非結構化數據，公司需要花費時間和精力來處理這些數據。 然而，新興的分析工具彌補了這一差距並推動了對神經網絡軟件市場的需求。
  • 此外，在分析領域，預測性和規範性分析優於描述性分析的趨勢正在推動神經網絡軟件市場的增長。 隨著神經網絡軟件為任何應用程序提供完全定制，這種趨勢正在蓬勃發展。
  • 全球各個領域工業自動化的進步正在推動機器學習的發展及其在幾乎所有行業的應用。 然而，由於缺乏全球專業知識，對運營挑戰的適應緩慢限制了市場增長。
  • 但是，神經網絡軟件的全球市場正在崛起。 許多挑戰阻礙了進步。 典型的例子是熟練動作模式的解釋、課程的同步和技術利用的延遲。 此外，只有少數人能夠使用可以迫使他們實時參與、學習和調整的智能設備。
  • 神經網絡軟件市場正在全球擴張。 該行業能否進一步增長取決於許多因素。 這些可能性包括增強人工智能和提高大腦學習和識別模式以及同步智能行為的能力。 智能設備等現代技術有很多用途。 這些也是成長的機會。
  • COVID-19 爆發對大流行早期神經網絡市場的增長產生了重大影響，因為世界上許多國家/地區廣泛實施封鎖以阻止病毒傳播。. 然而，由於對地理數據和分析工具、各種基於雲的預測解決方案的需求增加，預計神經網絡領域將在大流行後復蘇。

神經網絡軟件市場趨勢

醫療保健領域的巨大增長

  • 醫療機構正在利用人工神經網絡 (ANN) 以更低的成本改善醫療保健服務。 雖然人工神經網絡在診斷中的應用是眾所周知的，但它們在醫療保健管理決策中的應用也在增加。
  • 醫療保健具有復雜的數據環境。 肺部分割使用深度學習從其餘解剖結構中分割肺部區域，以便準確地細化它們。 雖然骨骼評估是一個難以直接觀察的領域，但深度學習可用於理解操作，幫助醫生真正看到骨骼並做出決定。
  • IBM 在獲取和數字化醫療保健數據（例如電子病歷和 DNA 序列）方面取得了進展。建議有
  • 在處理如此龐大的數據時，神經網絡軟件還有助於提高標準計算機的性能。 英特爾已與飛利浦合作，在 X 射線和計算機斷層掃描 (CT) 掃描上提供高性能和高效的深度學習推理，而無需 GPU 集群等加速器。 全球對人工智能的投資主要集中在垂直行業（AI+）、視覺、大數據、數據服務和智能機器人等領域。

北美市場份額最大

  • 北美是開發神經網絡市場的最大地區。 不斷增加的基礎設施和研發正在推動對用於問題識別、預測和製定應用的神經網絡軟件的需求。
  • 美國是該地區技術最先進的國家，在 BFSI、國防、醫療保健和物流等行業擁有不斷增長的市場。 神經網絡軟件在 BFSI 領域展示了顛覆性的性能，例如評估貸款申請和預測股票市場指數。
  • 例如，在納斯達克股票價格預測中，發現具有 3 個隱藏層的網絡是優化後的網絡，在驗證數據集上的準確率為 94.08%。
  • 此外，該地區繼續保持其作為尖端技術早期採用者的聲譽，重點是流程優化。 ADLINK Technology Inc. 採用英特爾的 OpenVino 集成機器學習工具來指導、識別、測量和檢查製造過程。
  • 此外，該地區的汽車和製造業等行業正在大力投資部署人工智能以優化流程，從而增加神經網絡軟件市場的機會。

神經網絡軟件市場競爭對手分析

神經網絡軟件市場由 Intel 和 Nvidia 等幾家公司主導。 儘管如此，儘管許多玩家開始根據最終用戶提供具有定制功能的軟件，但預計在預測期內仍將遵循類似的趨勢。

2022 年 6 月，Qualcomm Technologies 將其當前一流的 AI 軟件產品整合到一個名為 Qualcomm AI Stack 的軟件包中，以進一步鞏固其在 AI 和互聯智能邊緣領域的領導地位。 這將使 Qualcomm Technologies 的 OEM 客戶和開發人員在 Qualcomm Technologies 的硬件上創建、優化和部署 AI 應用時，能夠充分利用我們 Qualcomm AI Engine 的強大功能。

2022 年 10 月，IBM 宣布通過發布三個新庫擴展其嵌入式 AI 軟件產品組合。 這些庫旨在讓 IBM 生態系統中的合作夥伴、客戶和開發人員能夠更簡單、更快速、更經濟地創建和銷售他們自己的 AI 驅動的解決方案。

其他福利。

  • Excel 格式的市場預測 (ME) 表
  • 三個月的分析師支持

內容

第一章介紹

  • 調查先決條件
  • 調查範圍

第二章研究方法論

第 3 章執行摘要

第四章市場動態

  • 市場概覽
  • 市場驅動力
    • 空間數據和分析工具的可用性
    • 對預測解決方案的需求不斷擴大
  • 市場製約因素
    • 缺乏專業知識和其他運營挑戰
  • 行業價值鏈分析
  • 行業吸引力 - 波特五力分析
    • 新進入者的威脅
    • 買方/消費者議價能力
    • 供應商的議價能力
    • 替代品的威脅
    • 競爭公司之間的敵對關係

第 5 章市場細分

  • 通過申請
    • 欺詐檢測
    • 硬件診斷
    • 財務預測
    • 圖像優化
    • 其他應用
  • 按行業細分
    • BFSI
    • 醫療保健
    • 零售
    • 國防部
    • 媒體
    • 物流
    • 其他行業
  • 按地區
    • 北美
      • 美國
      • 加拿大
    • 歐洲
      • 英國
      • 德國
      • 法國
      • 其他歐洲地區
    • 亞太地區
      • 中國
      • 韓國
      • 澳大利亞
      • 其他亞太地區
    • 世界其他地區

第六章競爭格局

  • 公司簡介
    • IBM Corporation
    • NVIDIA Corporation
    • Intel Corporation
    • Microsoft Corporation
    • Clarifai Inc.
    • Alyuda Research LLC
    • Neural Technologies Ltd.
    • GMDH LLC
    • Neural Designer
    • Neuralware
    • AND Corporation
    • Swiftkey

第七章市場機會與未來趨勢

第八章投資分析

簡介目錄
Product Code: 58819

The Neural Network Software Market is expected to register a CAGR of 35.2% during the forecast period.

Key Highlights

  • The artificial neural network was completely neglected in the early stage of artificial intelligence development. Gradually recognized and became a large-scale algorithm leading the artificial intelligence (AI_ development trend.
  • The adoption of IoT and connected devices generate vast structure and unstructured data available to the companies, which is tedious to process. Still, the emerging analytical tools covered the gap and drove the demand for the neural network software market.
  • Moreover, in the analytics field, the trend towards predictive and prescriptive analytics passing over descriptive analytics is driving the growth of the neural network software market. The trend is booming as the neural network software offers complete customization according to the application.
  • The increasing industrial automation across the sectors globally is boosting the development of machine learning and its applications in almost all industries. However, due to the lack of global expertise, slow adaptation to operational challenges restricts the market growth.
  • However, the global market for neural network software is increasing. Many challenges are standing in the way of advancement. Explaining clever movement patterns, lesson synchronization, and delayed technology use are typical examples of these obstacles. Additionally, only some have access to smart devices that could force them to participate, learn, and adjust in real time.
  • The market for neural network software is increasing globally. The ability of the sector to grow further depends on numerous factors. These possibilities include expanding artificial intelligence and enhancing the brain's capacity to learn and recognize patterns and synchronize with intelligent behaviors. The newest technology, like smart devices, has many different uses. These are the opportunities that encourage growth.
  • Due to the widespread use of lockdowns in numerous nations worldwide to stop the spread of the virus, the COVID-19 outbreak significantly impacted the neural network market growth during the initial stages of the pandemic. However, with the increase in demand for geographical data and analytical tools and various cloud-based & prediction solutions, the neural network sector is anticipated to recover post-pandemic.

Neural Network Software Market Trends

Healthcare Segment to Grow Significantly

  • Healthcare organizations are leveraging artificial neural networks (ANN) to improve care delivery at a reduced cost. Applications of ANN to diagnosis are well-known; however, it is increasingly used to inform healthcare management decisions.
  • Healthcare has a complex data environment. In lung segmentation, deep learning is used to segment a lung area from the rest of the anatomy so that it can be accurately refined. Whereas bone assessment is a challenging area for direct observation, deep learning is used to keep track of the maneuver, helping the physician actually to observe the bone and make decisions.
  • IBM suggested that with increasing capture and digitization of healthcare data such as electronic medical records and DNA sequences, healthcare organizations are taking advantage of analyzing large sets of routinely collected digital information to improve service and reduce costs.
  • Neural network software also helps improve the performance of the standard computer in dealing with such a vast amount of data. Intel teamed up with Philips to deliver high-performance, efficient deep-learning inference on x-rays and computed tomography (CT) scans without needing accelerators like GPU clusters. The global investment in AI is focused on the vertical industry (AI+), vision, big data, data service, and intelligent robotics.

North America to Hold the Largest Market Share

  • North America is the largest region for developing the Neural Networks market. Increasing infrastructure and Research and development have boosted the demand for Neural Networks software for problem recognition, forecasting, and formulation applications.
  • The United States is the most technologically advanced country in this region, with an increasing market for industries, like BFSI, Defense, Healthcare, and Logistics, among others. The neural network software has shown disruptive performance in the BFSI sector in evaluating loan applications and predicting the stock market index.
  • For instance, in the NASDAQ stock exchange rate prediction, it was discovered that a network with three hidden layers was the optimized network with an accuracy of 94.08% for the validation dataset.
  • Additionally, the region continues to uphold its reputation as an early user of cutting-edge technologies with a focus on process optimization.. ADLINK Technology Inc. adopted Intel's OpenVino for guidance, identification, gauging, and inspection of manufacturing processes by integrating machine learning tools.
  • Moreover, industries like Automotives and manufacturing in the region are heavily investing in adopting artificial intelligence for their process optimization, which increases the opportunity for the neural network software market.

Neural Network Software Market Competitor Analysis

A few players, like Intel and Nvidia, dominate the neural network software market. Still, the forecast period is expected to follow a similar trend throughout the forecast period even though many players are emerging for offering software with customization capability according to the end-user.

In June 2022, Qualcomm Technologies combined its current best-in-class AI software offerings into a single package, the Qualcomm AI Stack, to further its leadership in AI and connected intelligent edge. This will enable Qualcomm Technologies' OEM clients and developers to fully utilize the performance of our Qualcomm AI Engine when creating, optimizing, and deploying their AI applications on Qualcomm Technologies' hardware.

In October 2022, with the release of three new libraries, IBM announced an increase to its embeddable AI software portfolio. These libraries are intended to make it simpler, quicker, and more affordable for IBM Ecosystem partners, clients, and developers to create and market their own AI-powered solutions.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Availability of Spatial Data and Analytical Tools
    • 4.2.2 Increasing Demand for Predicting Solutions
  • 4.3 Market Restraints
    • 4.3.1 Lack of Expertise and Other Operational Challenges
  • 4.4 Industry Value Chain Analysis
  • 4.5 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.5.1 Threat of New Entrants
    • 4.5.2 Bargaining Power of Buyers/Consumers
    • 4.5.3 Bargaining Power of Suppliers
    • 4.5.4 Threat of Substitute Products
    • 4.5.5 Intensity of Competitive Rivalry

5 MARKET SEGMENTATION

  • 5.1 By Application
    • 5.1.1 Fraud Detection
    • 5.1.2 Hardware Diagnostics
    • 5.1.3 Financial Forecasting
    • 5.1.4 Image Optimization
    • 5.1.5 Other Applications
  • 5.2 By End-user Vertical
    • 5.2.1 BFSI
    • 5.2.2 Healthcare
    • 5.2.3 Retail
    • 5.2.4 Defense Agencies
    • 5.2.5 Media
    • 5.2.6 Logistics
    • 5.2.7 Other End-user Verticals
  • 5.3 Geography
    • 5.3.1 North America
      • 5.3.1.1 United States
      • 5.3.1.2 Canada
    • 5.3.2 Europe
      • 5.3.2.1 United Kingdom
      • 5.3.2.2 Germany
      • 5.3.2.3 France
      • 5.3.2.4 Rest of Europe
    • 5.3.3 Asia-Pacific
      • 5.3.3.1 China
      • 5.3.3.2 South Korea
      • 5.3.3.3 Australia
      • 5.3.3.4 Rest of Asia-Pacific
    • 5.3.4 Rest of the World

6 COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles
    • 6.1.1 IBM Corporation
    • 6.1.2 NVIDIA Corporation
    • 6.1.3 Intel Corporation
    • 6.1.4 Microsoft Corporation
    • 6.1.5 Clarifai Inc.
    • 6.1.6 Alyuda Research LLC
    • 6.1.7 Neural Technologies Ltd.
    • 6.1.8 GMDH LLC
    • 6.1.9 Neural Designer
    • 6.1.10 Neuralware
    • 6.1.11 AND Corporation
    • 6.1.12 Swiftkey

7 MARKET OPPORTUNITIES AND FUTURE TRENDS

8 INVESTMENT ANALYSIS